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Two-wheeled self-balancing robot

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Two-wheeled self-balancing robot

Update time:2020-04-01       Pageviews:676


  1. Structure and material
    Model airplane-grade shock-absorbing tires

    Motor fixing bracket

    Wheel coupling

    4mm acrylic fixing plate

    Physical parameter
    Size: 190*135*66mm

    Weight: about 900 grams

    Hardware parameters

    Control chip
    Main control chip: STM32F103RCT6

    Independent pluggable motor driver chip: TB6612

    sensor
    MPU6050 gyro sensor, angular velocity sensing range ±250, ±500, ±1000 and ±2000°/sec (dps)

    HC-SR04 ultrasonic sensor, measuring range 2CM-400CM, accuracy 3MM.

    Acoustic sampling sensor (capacitive, 9MM*7MM, sensitivity 52DB)

    Tracking sensor (TSL1401 linear array, linear CCD camera, aluminum alloy bracket)

    Communication Interface
    1 CAN bus interface

    Reserve 1 serial port

    Bluetooth (CC2540) wireless communication interface

    Linear CCD module interface

    Display module
    0.96 inch OLED LCD screen module

    Device
    2600MAH large capacity lithium battery (3S)

    4.32W DC motor

    Performance parameter
    Self-balancing battery life is greater than 20 hours

    High-speed sports endurance time is about 45 minutes

    Hall encoder resolution 0.23°

    Accessory parameters

    B3AC smart charger (input voltage 110-240V, maximum charging current 2.4A, can charge 2S/3S)

    Demonstration paper accessories for tracing S-line path (50CM*250CM, PVC material plus enhanced grid)

    Labyrinth baffle accessories (42CM*35CM, transparent)

    Aluminum alloy tool box (34 CM *27 CM *14.5CM)

    Experimental support

    Basic experiment
    Sensor experiment

    Ultrasonic sensor experiment, using IO port

    Hall sensor experiment, using QEI, timer

    Gyro sensor experiment, using I2C

    Kalman filter experiment

    Accelerometer inclination estimation experiment

    Gyroscope for inclination estimation experiment

    The inclination estimation experiment of Kalman filter

    Kalman filter experiment

    Embedded system programming experiment

    Interrupt and serial port operation experiment

    I2C bus experiment

    SPI communication module

    Timer experiment

    GPIO configuration and Flash reading and writing experiment

    OLED display experiment

    PWM output experiment

    DMA controller experiment

    ADC sampling experiment

    AD conversion experiment

    Advanced experiment
    PID control experiment

    Current PID control experiment

    Speed PID control experiment

    Position PID control experiment

    Speech experiment

    Voice signal acquisition and spectrum analysis

    Design of Speech Numerical Filtering System

    Comprehensive Experiment

    Voice control car experiment

    Image-based tracking experiment

    Maze experiment

    The upper computer draws a line chart of serial port data





Industry Classification: Robot/Drone

Development platform: STM STMicroelectronics

Delivery form: PCBA, complete machine

Performance parameters:

Application scenario: college experimental teaching, embedded basic learning
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